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From "Marcelo Vanzin (JIRA)" <>
Subject [jira] [Resolved] (SPARK-11278) PageRank fails with unified memory manager
Date Wed, 09 May 2018 20:21:00 GMT


Marcelo Vanzin resolved SPARK-11278.
    Resolution: Cannot Reproduce

I'm going to close this since it's way out of date at this point. We've been running PageRank
for a while and while it needed some config tweaks, it seems to work fine.

> PageRank fails with unified memory manager
> ------------------------------------------
>                 Key: SPARK-11278
>                 URL:
>             Project: Spark
>          Issue Type: Bug
>          Components: GraphX, Spark Core
>    Affects Versions: 1.5.1
>            Reporter: Nishkam Ravi
>            Assignee: Andrew Or
>            Priority: Critical
>         Attachments: executor_log_legacyModeTrue.html, executor_logs_legacyModeFalse.html
> PageRank (6-nodes, 32GB input) runs very slow and eventually fails with ExecutorLostFailure.
Traced it back to the 'unified memory manager' commit from Oct 13th. Took a quick look at
the code and couldn't see the problem (changes look pretty good). cc'ing [~andrewor14][~vanzin]
who may be able to spot the problem quickly. Can be reproduced by running PageRank on a large
enough input dataset if needed. Sorry for not being of much help here.

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